The Department of Artificial Intelligence And Data Science at Shroff S.R. Rotary
Institute of Chemical Technology (SRICT), UPL University of Sustainable Technology,
offers the Bachelor of Engineering (BE) in Artificial Intelligence & Data Science
from 2026 programme to prepare students for the rapidly advancing world of intelligent
technologies and data-driven innovation. The programme is designed to provide strong
theoretical foundations complemented by practical and hands-on learning experiences,
enabling students to address real-world challenges through intelligent systems and
data analytics.
Artificial Intelligence and Data Science have emerged as transformative fields that
drive innovation across industries by enabling intelligent decision-making, automation,
and predictive analysis. The programme focuses on advanced and high-impact technological
domains such as Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics,
Big Data, Natural Language Processing, Computer Vision, Internet of Things (IoT),
and Cloud Computing, while strengthening core competencies in programming, database
systems, statistics, data engineering, and intelligent computing.
The curriculum is carefully designed to balance academic excellence with industry-oriented
learning. Students study subjects such as programming for AI, machine learning,
data structures, database management systems, data mining, deep learning, big data
analytics, cloud computing, and artificial intelligence applications. Along with
theoretical understanding, the programme emphasizes practical exposure through laboratory
work, project-based learning, internships, and training in modern programming languages,
analytical tools, and emerging technologies, helping students develop problem-solving
abilities, technical expertise, and innovative thinking.
Graduates of the Artificial Intelligence & Data Science programme are equipped with
the knowledge and skills required for diverse and high-demand career opportunities
in technology and data-driven industries. Career pathways include roles such as
AI engineer, data scientist, machine learning engineer, data analyst, business intelligence
analyst, research associate, and software developer, empowering graduates to contribute
effectively to intelligent system development, data-driven decision-making, and
emerging technological advancements.